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BernardRosner
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Channing Laboratory Statistical Modules
Cluster signed rank test for balanced/unbalanced design
clusignrank.sas
data description
purpose
sample data for unbalanced data
sample data for unbalanced data
sample output for balanced data
sample output for unbalanced data
sample_balanced_data
Compare
Compare Correlation Coefficients With Deattenuation
Comparison of Correlations without Deattenuation
Comparisons of measures of interclass correlations: the general case of unequal group size
purpose
sampledata
sampleoutput
syntax
wsibmean_pearson.sas
Incorporating Cluster effect for Pearson and Rank Correlation
Incorporating cluster effects for the Wilcoxon Rank Sum Test
cluswilcox
data_description
purpose
sample output
sample_data
sas program for cluswilcox
stratify cluswilcox
data description
sample data
sample output
stratify_cluswilcox.sas
stratify_cluswilcox_purpose
Incorporating cluster effects for the Wilcoxon Rank Sum Test with group membership defined at the subunit level
cluswilcox_subunit.sas
data descriptions
sample data for unbalanced data
sample output for balanced data
sample output for unbalanced data
sample_balanced_data
subunit_purpose
Interval estimation for rank correlation coefficients
attenuation point estimate and coefficients for measurement-error corrected rank
data description
purpose
rankcorr_mmer.sas
sample data set
sample output
corrected spearman corelation estimates
purpose
sampledata
sampleoutput
syntax
wsibmean_corrected.sas
estimation of confidence intervals of ordinary Spearman and Kendall rank
data description
purpose
rankcorr.sas
sample data set
sample output
Measurement error correction for nutritional exposures with correlated measurement error: use of triads in a longitudinal settings
correcting for measurement error based on datasets with a surrogate measure (Q), a gold sandard measure (R) and a biomarker (M) available at tow points in time with no additional covariates:
rawTable.sas
sample output
correcting for measurement error based on datasets with a surrogate measure (Q), covariates (Z) available at two points in time:
rawAdjstTable.sas
sample output
Measurement error correction for the cumulative average model in the survival analysis of nutritional data: application to Nurses' Health Study
Correcting RR and CI for measurement error using cumulative update error:
cUpdate
sample output
Correcting RR and CI for measurement error using simple update error:
sample output
sUpdate.sas
data preparation & sample data set & syntax for calling macros
paper_cumulative_average
purpose
Power and Sample Size Estimation for the Clustered Wilcoxon Test
CluswilcoxPower_sas
Examples
Example1
Example2
Example3
Invocation
Invocation
sample data
hump302_dat
sorbinil_dat
Power and Sample Size Estimation for the Wilcoxon Rank Sum Test
Assessing the Goodness-of-Fit of the Risk Prediction Rules
syntax for calling macro and sample output
WilcxGoodnessFit.sas
Estimate of Power for Continuous Random Variable with No Ties
syntax for calling macro and sample output
WilcxPowerContinuousNties.sas
Estimation of Power in the presence of Ties for Continuous random data
syntax for calling macro and sample output
WilcxPowerWties_RawData.sas
Estimation of Power in the Presence of Ties for the Grouped data
syntax for calling macro and sample output
WilcxPowerWties_GroupData.sas
Regression Method when the Eye is the Unit of Analysis
codebook for eye data sets
glau data set
retpigmentosa data set
srt data set
Pediatric Blood Pressure
Boys Percentiles of Blood Perssure by Percentile of Height
1 year old
10 years old
11 years old
12 years old
13 years old
14 years old
15 years old
16 years old
17 years old
2 years old
3 years old
4 years old
5 years old
6 years old
7 years old
8 years old
9 years old
calculation page
Childhood Blood Pressure Macro-batch mode
childhoodbppct.sas
ht_zscore.txt
ht_zscore_inf.txt
ht_zscore_inf.txt
Instructions
quantreg_coef.txt
sample_data
Girls Percentiles of Blood Pressure by Percentiles of Height
1 year old
10 years old
11 years old
12 years old
13 years old
14 years old
15 years old
16 years old
17 years old
2 years old
3 years old
4 years old
5 years old
6 years old
7 years old
8 years old
9 years old
sample_output
BernardRosner
Incorporating Cluster effect for Pearson and Rank Correlation
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