Paper: Risk for nocturnal hypoglycemia: A meta-analysis

Program: PaulBrownPhD/metaanalysis

Details:

- this work is from 2007

- primary analysis: number of nocturnal hypos (NHE), Novomix 30 v BHI 30

- 9 studies: parallel group (7) and cross-over designs (2)

- heterogeneity: I2, radial plot

- use inverse variance method

- model:the number of NHEs will be analysed as using a negative binomial regression model. The model will include the number of episodes as the dependent variable, the log-transformed exposure time as an offset variable, baseline HbA1c as a continuous covariate, treatment and type of diabetes as fixed effects

GENMOD: parallel group

NLMIXED: crossover

Log window

NLMIXED alert: "proc nlmixed reports incorrect statistics for all values associated with the NEGBIN distribution. To circumvent this problem, program the NEGBIN distribution using the GENERAL likelihood specification." (support.sas.com/techsup)

GENMOD with subjects as fixed (for initial estimates)

NLMIXED has no CLASS statement, create indicator variables:

Specify log-likelihood in NLMIXED to get around using NEGBIN:

Summary:

- analyse studies individually and combine in meta-analysis in a second step (inverse variance method)

- PARMS: get initial estimates from GENMOD

- BOUNDS: use to specify offset variables

- no CLASS statement, create indicator variables

- use GENERAL and specify LL, instead of NEGBIN

- no LSMEANS statement, use ESTIMATE

Notable sources:

Creating a suite of macros for meta-analysis in SAS: A case study in collaboration

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