BIOMETRICS INFORMATION

Transcription

1 BIOMETRICS INFORMATION Index of Pamphlet Topics (for pamphlets #1 to #60) as of December, 2000 Adjusted R-square ANCOVA: Analysis of Covariance 13: ANCOVA: Analysis of Covariance ANOVA: Analysis of Variance 2: The importance of replication in analysis of variance 3: ANOVA : specifying error terms 4: ANOVA : How to pool error terms 9: Reading category variables with statistics software 16: ANOVA: Contrasts viewed as t- 19: ANOVA: Approximate or Pseudo F- 21: What are the degrees of freedom? 22: ANOVA: Using a hand calculator to test a oneway ANOVA 23: ANOVA: Contrasts viewed as correlation coefficients 26: ANOVA: Equations for linear and quadratic contrasts 28: Simple repression with replication: testing for 45: Calculating contrast F- when SAS will not 51: Programs for /sample size calculations for CR and RB designs with subsampling 52: Post-hoc power analyses for ANOVA F- 53: Balanced incomplete block (BIB) study designs 54: Incomplete block designs: Connected designs can be analysed ASCII 1: Producing ASCII files with SAS Blocks 53: Balanced incomplete block (BIB) study designs 54: Incomplete block designs: Connected designs can be analysed Bonferroni Boxplots 33: Box plots Chi-square Distribution t- and χ 2 statistics Ministry of Forests Research Program

2 Cluster sampling Completely Randomized Designs Confidence Intervals 29: Simple Regression: Confidence intervals for a Confidence Level Contingency Tables 21: What are degrees of freedom? for contingency table Contrasts 12: Determining polynomial contrast coefficients 16: ANOVA: Contrasts viewed as t- 23: ANOVA: Contrasts viewed as correlation coefficients 26: ANOVA: Equations for linear and quadratic contrasts 45: Calculating contrast F- when SAS will not Control Correlation Coefficient 23: ANOVA: Contrasts viewed as correlation coefficients Crossed Factors Degrees of Freedom 19: ANOVA: Approximate or Pseudo F- 21: What are degrees of freedom? Dunn-Bonferroni EDA (Exploratory Data Analysis) 33: Box plots Error Bars 38: Plotting error bars with SAS/Graph Error Sums of Squares see Residual sums of squares or Within sums of squares Error Terms 3: ANOVA : specifying error terms 4: ANOVA : How to pool error terms 19: ANOVA: Approximate or Pseudo F- Expected Mean Squares 2

3 Index of Pamphlet Topics Experimental Design 44: What do we look for in a working plan? Experimental unit see Treatment unit F-Distribution 52: Post-hoc power analyses for ANOVA F- F-Max Test F-Test 18: Multiple : selecting the best subject 28: Simple Regression with replication: testing for 45: Calculating contrast F- when SAS will not 46: GLM: Comparing lines Factor Relationship Diagram Factorial Design 53: Balanced incomplete block (BIB) study designs 54: Incomplete block designs: Connected designs can be analysed Homogeneity of Variance Hypothesis Testing Indicator (Dummy) Variables Lack of Fit 28: Simple with replication: testing for Linear Combination 16: ANOVA: Contrasts viewed as t- Linear Models 28: Simple with replication for 46: GLM: Comparing lines Log-linear model Logistic Regression 7: Logistic analysis: model statements in PROC CATMOD LSD (Least Significant Difference) Mallow s CP 3

4 MANOVA Means Multiple Range Tests Multiple Regression multiple Non-linear Regression Polynomial Contrasts 12: Determining polynomial contrast coefficients 26: ANOVA: Equations for linear and quadratic contrasts Power for contingency table 51: Programs for /sample size calculations for CR and RB designs with subsampling 52: Post-hoc power analyses for ANOVA F- Predicted values multiple 29: Simple Regression: Confidence intervals for a Probability values Approximate or Pseudo F- 19: ANOVA: Approximate or Pseudo F- Pseudo-Replication Questionnaire 10: Results of biometrics questionnaire R-square Random Factors Randomized Block Designs 34: When are blocks of pseudo-replicates? 4

5 Index of Pamphlet Topics Regression 21: What are degrees of freedom? 28: Simple with replication: testing for 29: Simple : Confidence intervals for a 46: GLM Comparing lines Repeated Measures Replication 2: The importance of replication in analysis of variance 28: Simple with replication: testing for Residual Sums of Squares Sample Size for contingency table Sampling 44: What do we look for in a working plan? Sampling Units SAS Programs 1: Producing ASCI files with SAS 9: Reading category variables with statistics software 29: Simple Regression: Confidence intervals for a 33: Box plots 35: The computation of tree shadow lengths for contingency table 47: SAS: Adding observations when class variables (e.g. species list) are missing 51: Programs for /sample size calculations for CR and RB designs with subsampling SAS: CATMOD 7: Logistic analysis: model statements in PROC CATMOD SAS: Data Step 20: Rearranging raw data files 24: Reading WATFILE file into SAS 47: SAS: Adding observations when class variables (e.g. species list) are missing 5

6 SAS: GLM 3: ANOVA : specifying error terms 4: ANOVA : How to pool error terms 45: Calculating contrast F- when SAS will not 46: GLM Comparing lines SAS: Graph 38: Plotting error bars with SAS/Graph 42: Labelling curves in SAS/GRAPH SAS: MIXED SAS: NLIN SAS: REG multiple Shadow Lengths 35: The computation of Tree Shadow Lengths Split-Plot Design Standard Errors multiple SYSTAT 9: Reading category variables with statistics software t-distribution t-test 16: ANOVA: Contrasts viewed as t- Treatment Unit 2: The importance of replication in analysis of variance Type I & II errors WATFILE 24: Reading WATFILE file into SAS Within Sums of Squares 28: Simple with replication: testing for 6