3.7 L2 Comparison File Parameters
The L2 Comparison File is optional. This file must be specified if creating an L2 (inferential analysis) report. This file defines the model parameters and the output to include in the report.
Parameter | Field Name | Description |
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Group Name for Analysis | ANALYSISGRP | Name to differentiate exposure of interest/reference pairs. |
Note 1: ANALYSISGRP must correspond to values of ANALYSISGRP included in distributed input files. | ||
Note 2: all ANALYSISGRP values must be unique from all other ANALYSISGRP and GROUP values. The same ANALYSISGRP cannot be used in more than one run of the query request package. | ||
Note 3: if any subgroup analyses are requested in QRP for an ANALYSISGRP, those subgroup analyses will automatically be output. | ||
Format: SAS character $40; no special characters (e.g., commas, periods, hyphens, spaces, etc.) allowed, and underscores must be used to mark spaces. | ||
Example: drug_a_and_drug_b | ||
Group Display Order | ORDER | Unique number for each ANALYSISGRP. This is used to determine the order with which each ANALYSISGRP will be output for requested tables and/or figures. All ANALYSISGRPs should receive a unique ORDER value. ORDER values should start at 1 and be contiguous. |
Format: Numeric | ||
Example: 1 | ||
RunID Corresponding to ANALYSISGRP | RUNID | RunID assigned to the run that corresponds to the specified ANALYSISGRP. |
Format: SAS character $5 | ||
Example: r01 | ||
Output PS Distribution Histograms | OUTPUTPSDISTRIBUTION | Indicator specifying whether to output histograms of PS distribution for the ANALYSISGRP specified between exposure and control cohorts, before and after adjustment, when applicable. |
Note 1: to output figures and PS histograms for each ANALYSISGRP, both INCLUDEINREPORT (in the Figure Lookup File) and OUTPUTPSDISTRIBUTION must equal Y. If INCLUDEINREPORT = N and OUTPUTPSDISTRIBUTION = Y, a warning will be written to the log and no histograms will be output. A histogram will not be output for the specified ANALYSISGRP if INCLUDEINREPORT = Y and OUTPUTPSDISTRIBUTION = N. | ||
Valid values are:
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Example: Y | ||
Output Conditional Analysis | OUTPUTCONDITIONAL | Indicator specifying whether to output conditional analysis for the ANALYSISGRP specified. |
Valid values are:
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Format: SAS character $1 | ||
Example: Y | ||
Output Unconditional Analysis | OUTPUTUNCONDITIONAL | Indicator specifying whether to output unconditional analysis in report for the ANALYSISGRP specified. |
Valid values are:
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Format: SAS character $1 | ||
Example: Y | ||
Output Forest Plot | OUTPUTFORESTPLOT | Indicator specifying whether to output forest plots in report for the ANALYSISGRP specified. |
Valid values are:
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Format: SAS character $1 | ||
Example: Y | ||
Categorical Variables to Add to Model for Additional Adjustment | CLASSVARS | List of categorical variables to include in the Cox model (if Type 2) or the logistic model (if Type 4) for adjustment, separated by a space. Applicable when utilizing patient level data only. |
Valid values include classification variables included in input analytic file [RUNID]_adjusted_[periodid].sas7bdat | ||
Note 1: additional adjustment is not possible when using the Cochran-Mantel-Haenszel method for percentile analysis. | ||
Format: SAS character—length can vary | ||
Example: sex race | ||
Continuous Variables to Add to Model for Additional Adjustment | NOCLASSVARS | Additional continuous variables, separated by a space, to add to Cox model (if Type 2) or to logistic model (if Type 4) for adjustment. Applicable when utilizing patient level data only. |
Valid values include continuous variables included in input analytic file [runid]_adjusted_[periodid].sas7bdat | ||
Note 1: additional adjustment is not possible when using the Cochran-Mantel-Haenszel method for percentile analysis. | ||
Format: SAS character—length can vary | ||
Example: NUMIP | ||
Convergence Status to Consider | CONVRULE | Enter the convergence status values for considering whether the model has converged. |
Valid values are:
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Note 2: valid values based on variable STATUS from dataset [runid]_estimates_[periodid].sas7bdat | ||
Note 3: only DPs meeting convergence status requirement will be considered for effect estimates and Kaplan-Meier plots, if requested. | ||
Note 4: if FIRTH=Y in either PS Estimation file or PS Subgroup file, then the resulting ESTIMATE value in the MSOC Estimates file will have value of 2. This is because correctly implementing FLIC will result in warnings in the SAS log indicating that convergence was not achieved, particularly “WARNING: Convergence was not attained in 0 iterations.” Thus, to output estimates for models where FIRTH=Y, CONVRULE should be set to include 2. | ||
Format: SAS character - length can vary | ||
Example: 0,1 | ||
Number of HDPS variables to select from each DP | TOPNHDPS | Enter the number of high-dimensional propensity score (HDPS) variables to select from each Data Partner. |
Format: Numeric | ||
Example: 10 | ||
Kaplan-Meier Reference Population | KMREFPOP | Indicator specifying whether to include weighted comparison group, unweighted real population, or both in the Kaplan-Meier plot. Only applicable for variable-ratio matched analyses and conditional plots. |
Valid values are:
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Note 1: if individual level data is not returned (INDLEVEL = N in QRP Parameters file) then KMREFPOP must be set to ‘unweighted’. | ||
Note 2: 95% confidence intervals (CI) will automatically be output on the Kaplan-Meier plot for all unadjusted and unconditional analyses, and for conditional plots where KMREFPOP is set to ‘unweighted’. If KMREFPOP is set to ‘weighted’ or ‘both’ for conditional plots, 95% CI will NOT be output. | ||
Format: SAS character $10 | ||
Example: Weighted |