From a07b0999c28f712ff8c0aab0a42e8aaa22e86c96 Mon Sep 17 00:00:00 2001 From: Lyn Taylor <44114823+DrLynTaylor@users.noreply.github.com> Date: Wed, 14 Aug 2024 15:36:54 +0100 Subject: [PATCH] Update README.md --- non_website_content/README.md | 57 +---------------------------------- 1 file changed, 1 insertion(+), 56 deletions(-) diff --git a/non_website_content/README.md b/non_website_content/README.md index 30d984fd..dbf95c8f 100644 --- a/non_website_content/README.md +++ b/non_website_content/README.md @@ -1,56 +1 @@ -## Assignment Table - - -| Methods | | R | SAS | Comparison (R vs SAS) | Comparison (Other) | Python | -| ------------------------------------------ | --------------------------------------------- | ---------------------------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------- | ------------------------------------------------------------------------------------------------------------------- | ----------------------------------------- | ------------- | -| Summary Statistics | Rounding | [R](https://psiaims.github.io/CAMIS/R/rounding.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/rounding.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_rounding.html) | | [python](https://psiaims.github.io/CAMIS/python/Rounding.html) | -| | Summary statistics | [R](https://psiaims.github.io/CAMIS/R/summary-stats.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/summary-stats.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas-summary-stats.html) | | [python](https://psiaims.github.io/CAMIS/python/Summary_statistics.html) | -| | Skewness/Kurtosis | [R](https://psiaims.github.io/CAMIS/R/summary_skew_kurt.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/summary_skew_kurt.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_summary_skew_kurt.html) | | [python](https://psiaims.github.io/CAMIS/python/skewness_kurtosis.html) | -| General Linear Models | One Sample t-test | [R](https://psiaims.github.io/CAMIS/R/ttest_1Sample.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/ttest_1Sample.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_ttest_1Sample.html) | | [python](https://psiaims.github.io/CAMIS/python/OneSampleTTest.html) | -| | Paired t-test | [R](https://psiaims.github.io/CAMIS/R/ttest_Paired.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/ttest_Paired.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_ttest_Paired.html) | | [python](https://psiaims.github.io/CAMIS/python/PairedTTest.html) | -| | Two Sample t-test | [R](https://psiaims.github.io/CAMIS/R/ttest_2Sample.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/ttest_2Sample.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_ttest_2Sample.html) | | [python](https://psiaims.github.io/CAMIS/python/TwoSampleTTest.html) | -| | ANOVA | [R](https://psiaims.github.io/CAMIS/R/anova.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/anova.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_anova.html) | | | -| | ANCOVA | [R](https://psiaims.github.io/CAMIS/R/ancova.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/ancova.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_ancova.html) | | [python](https://psiaims.github.io/CAMIS/python/ancova.html) | -| | MANOVA | [R](https://psiaims.github.io/CAMIS/R/manova.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/manova.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_manova.html) | | [python](https://psiaims.github.io/CAMIS/python/MANOVA.html) | -| | Linear Regression | [R](https://psiaims.github.io/CAMIS/R/linear-regression.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/linear-regression.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_linear-regression.html) | | | -| Generalized Linear Models | Logistic Regression | [R](https://psiaims.github.io/CAMIS/R/logistic_regr.html) | [SAS -Molly/Brian/lyn](https://psiaims.github.io/CAMIS/SAS/logistic-regr.html) | bvarney9/ Molly/ Lyn | | | -| | Poisson/Negative Binomial Regression | [R](https://psiaims.github.io/CAMIS/R/count_data_regression.html) | Novartis hackathon | | | | -| | Categorical Repeated Measures | | | | | | -| | Categorical Multiple Imputation | | | | | | -| Non-parametric Analysis | Wilcoxon signed rank | Agnieska (PXL)/ Lyn | Agnieska (PXL)/ Lyn | Agnieska (PXL)/ Lyn | | | -| | Mann-Whitney U/Wilcoxon rank sum | [R](https://psiaims.github.io/CAMIS/R/nonpara_wilcoxon_ranksum.html) | Agnieska (PXL)/ Lyn | Agnieska (PXL)/ Lyn | | | -| | Kolmogorov-Smirnov test | Christina/Sarah | Christina/Sarah | Christina/Sarah | | | -| | Kruskall-Wallis test | [R](https://psiaims.github.io/CAMIS/R/kruskal_wallis.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/kruskal_wallis.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_kruskalwallis.html) | | | -| | Friedman test | | | | | | -| | Jonckheere test | | | | | | -| Categorical Data Analysis | Binomial test | | | | | | -| | McNemar's test | [R](https://psiaims.github.io/CAMIS/R/mcnemar.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/mcnemar.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_mcnemar.html) | | | -| | Chi-Square Association/Fishers exact | [R](https://psiaims.github.io/CAMIS/R/association.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/association.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_chi-sq.html) | | | -| | Cochran Mantel Haenszel | [R](https://psiaims.github.io/CAMIS/R/cmh.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/cmh.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_cmh.html) | | | -| | Confidence Intervals for proportions | see issue #7 | | | | | -| Repeated Measures | Linear Mixed Model (MMRM) | [R](https://psiaims.github.io/CAMIS/R/mmrm.html) | [SAS Stephen Waugh and novonordisk)](https://psiaims.github.io/CAMIS/SAS/mmrm.html) | [R vs SAS Stephen Waugh novonordisk)](https://psiaims.github.io/CAMIS/Comp/r-sas_mmrm.html) | | | -| | Generalized Linear Mixed Model (MMRM) | Stephen waugh (TBC)? | | | | | -| | Bayesian MMRM | Openstatsware/ Chi | Openstatsware/ Chi | Openstatsware/ Chi | | | -| Multiple Imputation - Continuous Data MAR | MCMC | | | | | | -| | Linear regression | [R](https://psiaims.github.io/CAMIS/R/mi_mar_regression.html) | | | | | -| | Predictive Mean Matching | [R](https://psiaims.github.io/CAMIS/R/mi_mar_predictive_mean_match.html) | | | | | -| | Propensity Scores | andreaczhang (chi) | | | | | -| Multiple Imputation - Continuous Data MNAR | Delta Adjustment/Tipping Point | andreaczhang (chi) | | | | | -| | Reference-Based Imputation/Sequential Methods | andreaczhang (chi) | Leon? | | | | -| | Reference-Based Imputation/Joint Modelling | andreaczhang (chi) | Leon? | | | | -| Correlation | Pearson's/ Spearman's/ Kendall's Rank | [R](https://psiaims.github.io/CAMIS/R/correlation.html) | | [python](https://psiaims.github.io/CAMIS/python/correlation.html)| | | -| Survival Models | Kaplan-Meier Log-rank test and Cox-PH | [R](https://psiaims.github.io/CAMIS/R/survival.html) | [SAS](https://psiaims.github.io/CAMIS/SAS/survival.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_survival.html) | | | -| | Accelerated Failure Time | | Stephen McCawille | | | | -| | Non-proportional hazards methods | | | | | | -| Sample size /Power calculations | Single timepoint analysis | [vandyme](https://github.com/vandyme) | [vandyme](https://github.com/vandyme) | | [yuliasidi](https://github.com/yuliasidi) | | -| | Group sequential designs | Keaven/Yulia Sidi | Keaven/Yulia Sidi | Keaven/Yulia Sidi | [yuliasidi](https://github.com/yuliasidi) | | -| Multivariate methods | Clustering | | | | | | -| | Factor analysis | | | | | | -| | PCA | | | | | | -| | Canonical correlation | | | | | | -| | PLS | | | | | | -| | Non linear Models | Todd/Cuifeng | Todd/Cuifeng | Todd/Cuifeng | | | -| Other Methods | Survey statistics | [R](https://psiaims.github.io/CAMIS/R/survey-stats-summary.html) |[SAS](https://psiaims.github.io/CAMIS/SAS/survey-stats-summary.html) | [R vs SAS](https://psiaims.github.io/CAMIS/Comp/r-sas_survey-stats-summary.html) | | | -| | Nearest neighbour | | | | | | -| | Causal inference | | | | | | -| | Machine learning | | | | | | +NOTE: If you are currently working on some research to contribute to CAMIS, please ensure you raise an issue and assign yourself, so we avoid 2 people working on the same topic at the same time without collaborating together.