From 571763da7cbfdc383f428770cdcf4604c53b967b Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 16:21:32 -0300 Subject: [PATCH 01/19] limpeza dos dados --- report/SAP_DM_2020-v01.Rmd | 52 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 52 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 500dcfe..b49bdc8 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -82,6 +82,58 @@ colnames(sigs) <- c("Papel", "Nome", "Função", "Assinatura", "Data") # Limpeza dos dados +Os dados recebidos serão reorganizados em uma tabela retangular, agrupando todos os casos em linhas com uma coluna por variável. +A coluna ID será redefinida de modo que haja um ID único para cada participante incluído no estudo, independente do grupo. +Com isso, a tabela de dados analíticos apresentará uma linha para cada observação das variáveis, i.e., cada um dos vinte participantes incluídos no estudo. + +As seguintes novas variáveis serão criadas a partir para a análise: + +- **EVD dif:** diferença entre EVD pré e pós (numérica) +- **Dominante:** se o lado acometido era o lado dominante do participante (dicotômica) + +A tabela de dados analíticos será criada de acordo com a seguinte estrutura da Tabela 1. + +```{r tab.dados} +tab.dados <- tibble::tibble( + ID = c(1:3, "...", 20), + Idade = "", + Sexo = "", + Grupo = "", + "EVD Pré" = "", + "EVD Pós" = "", + "EVD dif" = "", + "Lado dominante" = "", + "Lado acometido" = "", + "Dominante" = "", + Artrose = "", + "Tempo artrose" = "", + "Statisfação" = "", + "Retorno Profissão" = "" + ) +pander(tab.dados, split.table = Inf) +``` + +Table: **Tabela 1** Estrutura da nova tabela de dados analíticos + +As comorbidades serão redefinidas como variáveis dicotômicas e reorganizadas em colunas independentes. +As colunas serão acrescentadas à tabela de dados, seguindo a estrutura apresentada na Tabela 2. + +```{r tab.dados.comorb} +tab.dados.comorb <- tibble::tibble( + ID = c(1:3, "...", 20), + + "(colunas tabela 1...)" = "", + HAS = "", + DM = "", + Tabagismo = "", + Hipotireoidismo = "", + IVC = "" + ) +pander(tab.dados.comorb, split.table = Inf) +``` + +Table: **Tabela 2** Representação das comorbidades na tabela de dados analíticos + # Variáveis do estudo ## Desfechos primário e secundários From 937b09e31c674f60d64e15810c31a371a32fabce Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 16:21:52 -0300 Subject: [PATCH 02/19] =?UTF-8?q?vari=C3=A1veis?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 22 ++++++++++++++++++++++ 1 file changed, 22 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index b49bdc8..d7dfd34 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -138,8 +138,30 @@ Table: **Tabela 2** Representação das comorbidades na tabela de dados analíti ## Desfechos primário e secundários +Serão avaliados quatro desfechos na comparação entre os dois grupos de participantes: + +**desfecho primário** + +- diferença na EVD pré e pós nos dois grupos + +**desfechos secundários** + +- alteração degenerativa (artrose) +- Grau de satisfação +- Retorno à profissão + ## Covariáveis +- Idade +- Sexo +- Acometimento no lado dominante +- Comorbidades + - HAS + - DM + - Tabagismo + - Hipotireoidismo + - IVC + # Métodos estatísticos ## Análises estatísticas From 924b4e7e972035f05fb00e08cc8f1b85fa79c966 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 16:21:59 -0300 Subject: [PATCH 03/19] placeholder para tabelas mockup --- report/SAP_DM_2020-v01.Rmd | 11 +++++++++++ 1 file changed, 11 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index d7dfd34..cb3d865 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -168,8 +168,19 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ### Análise descritiva + +```{r tab.descr} + +``` + ### Análise inferencial + +```{r tab.res} + +``` + + ### Modelagem estatística ## Significância e Intervalos de Confiança From 53cc8ebf17e78c939fd3ac56749dfd1367ef0799 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 16:53:57 -0300 Subject: [PATCH 04/19] =?UTF-8?q?limpeza:=20reorganiza=C3=A7=C3=A3o=20do?= =?UTF-8?q?=20texto=20(compacta=C3=A7=C3=A3o)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 17 ++++++++++++++--- 1 file changed, 14 insertions(+), 3 deletions(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index cb3d865..7764704 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -91,6 +91,18 @@ As seguintes novas variáveis serão criadas a partir para a análise: - **EVD dif:** diferença entre EVD pré e pós (numérica) - **Dominante:** se o lado acometido era o lado dominante do participante (dicotômica) +As seguintes variáveis serão limpas para adequação nas análises: + +- **Tempo artrose:** convertida em valores numéricos + - valores possíveis: número (anos) ou célula vazia +- **Comorbidades:** redefinidas como variáveis dicotômicas + - reorganizadas em colunas independentes + - valores possíveis: nome da comorbidade ou célula vazia +- **Retorno:** Esta coluna é repetida em todas as quatro planilhas + - serão utilizados as duas primeiras ocorrências deste dado: + - Folha 1 - Tabela 1 - Volar + - Folha 1 - Tabela 2 - Dorsal + A tabela de dados analíticos será criada de acordo com a seguinte estrutura da Tabela 1. ```{r tab.dados} @@ -108,15 +120,14 @@ tab.dados <- tibble::tibble( Artrose = "", "Tempo artrose" = "", "Statisfação" = "", - "Retorno Profissão" = "" + "Retorno" = "" ) pander(tab.dados, split.table = Inf) ``` Table: **Tabela 1** Estrutura da nova tabela de dados analíticos -As comorbidades serão redefinidas como variáveis dicotômicas e reorganizadas em colunas independentes. -As colunas serão acrescentadas à tabela de dados, seguindo a estrutura apresentada na Tabela 2. +As colunas de comorbidades serão acrescentadas à tabela de dados, seguindo a estrutura apresentada na Tabela 2. ```{r tab.dados.comorb} tab.dados.comorb <- tibble::tibble( From f2f2a2cac03ca7ccb57b818884ab5b87bc6c471b Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:10:38 -0300 Subject: [PATCH 05/19] =?UTF-8?q?an=C3=A1lise=20de=20poder?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 21 +++++++++++++++++++++ 1 file changed, 21 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 7764704..7c5fcf8 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -198,6 +198,27 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ## Tamanho da amostra e Poder +```{r} +library(pwr) +n <- 10 +ES.large <- pwr.t.test(n = 10, d = 0.8) +ES.study <- pwr.t.test(n = 10, power = 0.8) +# s/m/l = .2/.5/.8 +``` + +O desfecho primário deste estudo é uma variável numérica e será analisada com o teste t de Student. +Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen de tamanho de efeito padronizado. +Esta abordagem utiliza apenas os dados obtidos na amostra de estudo e Cohen sugere a seguinte interpretação de tamanhos de efeito padronizados: + +- efeito pequeno: d = 0.2 +- efeito médio: d = 0.5 +- efeito grande: d = 0.8 + +Com `r n` participantes incluídos em cada grupo, este estudo é capaz de detectar um tamanho de efeito grande (d = 0.8) com poder de `r format.pct(ES.large$power)` e significância de 5%. +Por outro lado, se estipularmos o nível de poder tipicamente encontrado na literatura de 80%, o efeito padronizado precisa ser pelo menos `r format.float(ES.study$d)` para que este estudo possa detectá-lo com significância de 5%. + +É pouco provável que esta amostra seja suficiente para detectar um efeito estatisticamente significativo entre os grupos. + ## Softwares utilizados Esta análise será realizada utilizando-se o software `R` versão `r getRversion()`. From a3e4a773c242f49fbc425b60d3c56e59cdcbbfc1 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:11:53 -0300 Subject: [PATCH 06/19] =?UTF-8?q?signific=C3=A2ncia?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 3 +++ 1 file changed, 3 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 7c5fcf8..8e5ae2f 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -196,6 +196,9 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ## Significância e Intervalos de Confiança +Todas as análises serão feitas com nível de significância de 5%. +Todos os testes de significância e intervalos de confiança calculados serão bilaterais. + ## Tamanho da amostra e Poder ```{r} From 6940f865933ad77aaad4d50b2c2d571b4390f2c0 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:20:39 -0300 Subject: [PATCH 07/19] =?UTF-8?q?refer=C3=AAncia=20(cohen)?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 8e5ae2f..b03e90a 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -210,7 +210,7 @@ ES.study <- pwr.t.test(n = 10, power = 0.8) ``` O desfecho primário deste estudo é uma variável numérica e será analisada com o teste t de Student. -Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen de tamanho de efeito padronizado. +Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen (Cohen, 1998) de tamanho de efeito padronizado. Esta abordagem utiliza apenas os dados obtidos na amostra de estudo e Cohen sugere a seguinte interpretação de tamanhos de efeito padronizados: - efeito pequeno: d = 0.2 @@ -234,5 +234,7 @@ Esta análise será realizada utilizando-se o software `R` versão `r getRversio # Referências +- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum. + # Apêndice From b014680c508c933ec22fb70157d66d64e4fcb5b0 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:24:27 -0300 Subject: [PATCH 08/19] =?UTF-8?q?modelagem:=20se=C3=A7=C3=A3o=20removida?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index b03e90a..48d5395 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -192,7 +192,7 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ``` -### Modelagem estatística + ## Significância e Intervalos de Confiança From a6642d4d4191775c6c4ce9bde468b18e7ba438d8 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:24:37 -0300 Subject: [PATCH 09/19] HT abreviado --- report/SAP_DM_2020-v01.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 48d5395..f0a7d20 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -136,8 +136,8 @@ tab.dados.comorb <- tibble::tibble( "(colunas tabela 1...)" = "", HAS = "", DM = "", - Tabagismo = "", - Hipotireoidismo = "", + TABAGISMO = "", + HT = "", IVC = "" ) pander(tab.dados.comorb, split.table = Inf) @@ -170,7 +170,7 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic - HAS - DM - Tabagismo - - Hipotireoidismo + - HT - IVC # Métodos estatísticos From 1aec2f58f00af1392f1d5734adaa4b0be705910b Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:26:33 -0300 Subject: [PATCH 10/19] =?UTF-8?q?ap=C3=AAndice=20removido?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index f0a7d20..3d24e8d 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -72,6 +72,12 @@ colnames(sigs) <- c("Papel", "Nome", "Função", "Assinatura", "Data") # Lista de abreviaturas +- DM: +- EVD: +- HAS: +- HT: +- IVC: + # Introdução ## Contexto From 3065864f732bfee82116ddfb0d078f730da3d9c6 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:26:49 -0300 Subject: [PATCH 11/19] =?UTF-8?q?ap=C3=AAndice=20removido?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 3d24e8d..f031ab4 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -242,5 +242,5 @@ Esta análise será realizada utilizando-se o software `R` versão `r getRversio - Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale,NJ: Lawrence Erlbaum. -# Apêndice + From 175c4a708fa57916592fbc624234c0a720a3e630 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:41:02 -0300 Subject: [PATCH 12/19] =?UTF-8?q?an=C3=A1lises=20descritiva=20e=20inferenc?= =?UTF-8?q?ial?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 14 ++++++++++++++ 1 file changed, 14 insertions(+) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index f031ab4..aba07a1 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -185,6 +185,16 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ### Análise descritiva +As variáveis numéricas serão descritas como média e desvio padrão. +As variáveis categóricas serão descritas como frequência e proporção. +As proporções serão apresentadas como porcentagem. + +A análise descritiva será dividida em duas tabelas: + +- tabela das características dos participantes do estudo, apresentando as covariáveis descritas na seção 4.2 +- tabela descritiva dos desfechos do estudo descritos na seção 4.1 + +Ambas as tabelas apresentarão os dados estratificados nos dois grupos. ```{r tab.descr} @@ -192,6 +202,10 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic ### Análise inferencial +A comparação de variáveis numéricas entre os dois grupos será avaliada com o teste t de Student não pareado. +O p-valor do teste t de student será apresentado na tabela descritiva dos resultados + +A comparação de variáveis categóricas entre os dois grupos será avaliada com o teste exato de Fisher. ```{r tab.res} From 366da63126e28e80ba7187e2ff4de8cda290b6ef Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:41:16 -0300 Subject: [PATCH 13/19] abreviaturas --- report/SAP_DM_2020-v01.Rmd | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index aba07a1..8c309a8 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -72,10 +72,10 @@ colnames(sigs) <- c("Papel", "Nome", "Função", "Assinatura", "Data") # Lista de abreviaturas -- DM: +- DM: Diabetes mellitus - EVD: -- HAS: -- HT: +- HAS: Hipertensão arterial sistêmica +- HT: Hipotireoidismo - IVC: # Introdução From ff10c81628f085587283a6a6ce8452de248f98b0 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:41:33 -0300 Subject: [PATCH 14/19] =?UTF-8?q?tipos=20de=20vari=C3=A1veis?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 17 +++++++++-------- 1 file changed, 9 insertions(+), 8 deletions(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 8c309a8..44d89bb 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -159,20 +159,21 @@ Serão avaliados quatro desfechos na comparação entre os dois grupos de partic **desfecho primário** -- diferença na EVD pré e pós nos dois grupos +- Diferença na EVD pré e pós nos dois grupos (numérica) **desfechos secundários** -- alteração degenerativa (artrose) -- Grau de satisfação -- Retorno à profissão +- Alteração degenerativa (artrose) (dicotômica) +- Grau de satisfação (numérico) +- Retorno à profissão (dicotômica) ## Covariáveis -- Idade -- Sexo -- Acometimento no lado dominante -- Comorbidades +- Idade (em anos) +- Sexo (feminino/masculino) +- Acometimento no lado dominante (direito/esquerdo) +- Tempo até a artrose (em anos) +- Comorbidades (dicotômicas) - HAS - DM - Tabagismo From a10e938ce48b254d406fa8f9def4d86b855d699a Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:41:38 -0300 Subject: [PATCH 15/19] =?UTF-8?q?exce=C3=A7=C3=B5es:=20se=C3=A7=C3=A3o=20r?= =?UTF-8?q?emovida?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 44d89bb..1cb66a9 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -249,7 +249,7 @@ Esta análise será realizada utilizando-se o software `R` versão `r getRversio -# Exceções e Observações + From 798ab4b62aead76fe601355b6a57b86274156f29 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:43:31 -0300 Subject: [PATCH 16/19] typo (ano) --- report/SAP_DM_2020-v01.Rmd | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 1cb66a9..3f02565 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -231,7 +231,7 @@ ES.study <- pwr.t.test(n = 10, power = 0.8) ``` O desfecho primário deste estudo é uma variável numérica e será analisada com o teste t de Student. -Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen (Cohen, 1998) de tamanho de efeito padronizado. +Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen (Cohen, 1988) de tamanho de efeito padronizado. Esta abordagem utiliza apenas os dados obtidos na amostra de estudo e Cohen sugere a seguinte interpretação de tamanhos de efeito padronizados: - efeito pequeno: d = 0.2 From 547224812f5f746784a8bbe677c9cf629e4195ac Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:46:30 -0300 Subject: [PATCH 17/19] =?UTF-8?q?data=20e=20destinat=C3=A1rio?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.Rmd | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/report/SAP_DM_2020-v01.Rmd b/report/SAP_DM_2020-v01.Rmd index 3f02565..322a202 100644 --- a/report/SAP_DM_2020-v01.Rmd +++ b/report/SAP_DM_2020-v01.Rmd @@ -1,7 +1,7 @@ --- title: "Plano de Análise Estatística de ..." -author: '**De:** Felipe Figueiredo **Para:** ___' -date: '**Data: ** dd/mm/aaaa' +author: '**De:** Felipe Figueiredo **Para:** Diego Rezende Martins' +date: '**Data: ** 07/01/2021' output: html_document: fig_caption: yes From 6fa1db5949f4387d5482a2264d7083678f232497 Mon Sep 17 00:00:00 2001 From: Felipe Figueiredo Date: Thu, 7 Jan 2021 17:46:55 -0300 Subject: [PATCH 18/19] =?UTF-8?q?visualiza=C3=A7=C3=A3o?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- report/SAP_DM_2020-v01.md | 217 ++++++++++++++++++++++++++++++++++++++ 1 file changed, 217 insertions(+) create mode 100644 report/SAP_DM_2020-v01.md diff --git a/report/SAP_DM_2020-v01.md b/report/SAP_DM_2020-v01.md new file mode 100644 index 0000000..bbdd541 --- /dev/null +++ b/report/SAP_DM_2020-v01.md @@ -0,0 +1,217 @@ +--- +title: "Plano de Análise Estatística de ..." +author: '**De:** Felipe Figueiredo **Para:** Diego Rezende Martins' +date: '**Data: ** 07/01/2021' +output: + html_document: + fig_caption: yes + fig_height: 6 + fig_width: 6 + keep_md: yes + number_sections: yes + toc: yes + pdf_document: + number_sections: yes + toc: yes + word_document: + fig_caption: yes + fig_height: 6 + fig_width: 6 + reference_docx: misc/SAP-style.docx + toc: yes +subtitle: 'SAP: analise_dados_DM_2020-v01' +toc-title: "Sumário" +--- + + + +--- + +**Histórico do documento** + + +|Versão |Alterações | +|:------|:--------------| +|01 |Versão inicial | + +--- + + + + + +# Lista de abreviaturas + +- DM: Diabetes mellitus +- EVD: +- HAS: Hipertensão arterial sistêmica +- HT: Hipotireoidismo +- IVC: + +# Introdução + +## Contexto + +## Objetivos + +## Hipóteses + +# Limpeza dos dados + +Os dados recebidos serão reorganizados em uma tabela retangular, agrupando todos os casos em linhas com uma coluna por variável. +A coluna ID será redefinida de modo que haja um ID único para cada participante incluído no estudo, independente do grupo. +Com isso, a tabela de dados analíticos apresentará uma linha para cada observação das variáveis, i.e., cada um dos vinte participantes incluídos no estudo. + +As seguintes novas variáveis serão criadas a partir para a análise: + +- **EVD dif:** diferença entre EVD pré e pós (numérica) +- **Dominante:** se o lado acometido era o lado dominante do participante (dicotômica) + +As seguintes variáveis serão limpas para adequação nas análises: + +- **Tempo artrose:** convertida em valores numéricos + - valores possíveis: número (anos) ou célula vazia +- **Comorbidades:** redefinidas como variáveis dicotômicas + - reorganizadas em colunas independentes + - valores possíveis: nome da comorbidade ou célula vazia +- **Retorno:** Esta coluna é repetida em todas as quatro planilhas + - serão utilizados as duas primeiras ocorrências deste dado: + - Folha 1 - Tabela 1 - Volar + - Folha 1 - Tabela 2 - Dorsal + +A tabela de dados analíticos será criada de acordo com a seguinte estrutura da Tabela 1. + + +---------------------------------------------------------------------------------------------------------------------------------------------------------- + ID Idade Sexo Grupo EVD Pré EVD Pós EVD dif Lado dominante Lado acometido Dominante Artrose Tempo artrose Statisfação Retorno +----- ------- ------ ------- --------- --------- --------- ---------------- ---------------- ----------- --------- --------------- ------------- --------- + 1 + + 2 + + 3 + + ... + + 20 +---------------------------------------------------------------------------------------------------------------------------------------------------------- + +Table: **Tabela 1** Estrutura da nova tabela de dados analíticos + +As colunas de comorbidades serão acrescentadas à tabela de dados, seguindo a estrutura apresentada na Tabela 2. + + +--------------------------------------------------------------- + ID (colunas tabela 1...) HAS DM TABAGISMO HT IVC +----- ----------------------- ----- ---- ----------- ---- ----- + 1 + + 2 + + 3 + + ... + + 20 +--------------------------------------------------------------- + +Table: **Tabela 2** Representação das comorbidades na tabela de dados analíticos + +# Variáveis do estudo + +## Desfechos primário e secundários + +Serão avaliados quatro desfechos na comparação entre os dois grupos de participantes: + +**desfecho primário** + +- Diferença na EVD pré e pós nos dois grupos (numérica) + +**desfechos secundários** + +- Alteração degenerativa (artrose) (dicotômica) +- Grau de satisfação (numérico) +- Retorno à profissão (dicotômica) + +## Covariáveis + +- Idade (em anos) +- Sexo (feminino/masculino) +- Acometimento no lado dominante (direito/esquerdo) +- Tempo até a artrose (em anos) +- Comorbidades (dicotômicas) + - HAS + - DM + - Tabagismo + - HT + - IVC + +# Métodos estatísticos + +## Análises estatísticas + +### Análise descritiva + +As variáveis numéricas serão descritas como média e desvio padrão. +As variáveis categóricas serão descritas como frequência e proporção. +As proporções serão apresentadas como porcentagem. + +A análise descritiva será dividida em duas tabelas: + +- tabela das características dos participantes do estudo, apresentando as covariáveis descritas na seção 4.2 +- tabela descritiva dos desfechos do estudo descritos na seção 4.1 + +Ambas as tabelas apresentarão os dados estratificados nos dois grupos. + + + +### Análise inferencial + +A comparação de variáveis numéricas entre os dois grupos será avaliada com o teste t de Student não pareado. +O p-valor do teste t de student será apresentado na tabela descritiva dos resultados + +A comparação de variáveis categóricas entre os dois grupos será avaliada com o teste exato de Fisher. + + + + + + +## Significância e Intervalos de Confiança + +Todas as análises serão feitas com nível de significância de 5%. +Todos os testes de significância e intervalos de confiança calculados serão bilaterais. + +## Tamanho da amostra e Poder + + + +O desfecho primário deste estudo é uma variável numérica e será analisada com o teste t de Student. +Na ausência de estimativas prévias da média e desvio padrão do desfecho primário (EVD) a análise de poder só pode ser feita usando-se o método de Cohen (Cohen, 1988) de tamanho de efeito padronizado. +Esta abordagem utiliza apenas os dados obtidos na amostra de estudo e Cohen sugere a seguinte interpretação de tamanhos de efeito padronizados: + +- efeito pequeno: d = 0.2 +- efeito médio: d = 0.5 +- efeito grande: d = 0.8 + +Com 10 participantes incluídos em cada grupo, este estudo é capaz de detectar um tamanho de efeito grande (d = 0.8) com poder de 39.5% e significância de 5%. +Por outro lado, se estipularmos o nível de poder tipicamente encontrado na literatura de 80%, o efeito padronizado precisa ser pelo menos 1.32 para que este estudo possa detectá-lo com significância de 5%. + +É pouco provável que esta amostra seja suficiente para detectar um efeito estatisticamente significativo entre os grupos. + +## Softwares utilizados + +Esta análise será realizada utilizando-se o software `R` versão 4.0.3. + + + + + + + +# Referências + +- Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). 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