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Table 3 Software used in joint model fits in included studies

From: Joint models for longitudinal and time-to-event data: a review of reporting quality with a view to meta-analysis

Software

N (%)

R [91]

21 (32.3)

 R (JM) [76]

15 (23.1)

 R (JMBayes) [92]

0 (0)

 R (joineR) [79]

1 (1.5)

 R (frailtypack) [93]

0 (0)

 R (JM and joineR) [76, 79]

1 (1.5)

 R (unspecified package)

2 (3.1)

 R (own code developed, unclear if available)

2 (3.1)

SAS [94]

13 (20.0)

 SAS (PROC NLMIXED)

10 (15.4)

 SAS (own code available)

1 (1.5)

 SAS (unspecified)

2 (3.1)

 JM Macro [95]

0 (0)

 JMFit Macro [96]

0 (0)

Stata [97]

5 (7.7)

 Stata (stjm) [80]

2 (3.1)

 Stata (unspecified)

3 (4.6)

WinBUGS [98]

4 (6.2)

 WinBUGS (own code available)

2 (3.1)

 WinBUGS (no available code)

1 (1.5)

 WinBUGS (unspecified)

1 (1.5)

OpenBUGS (no available code)

1 (1.5)

Fortran

3 (4.6)

 Fortran (code available, not study specific)

1 (1.5)

 Fortran (own code developed)

1 (1.5)

 Fortran (study states code available)

1 (1.5)

NONMEM (unspecified) [99]

2 (3.1)

C++ (own code unclear if available) [100]

1 (1.5)

Mplus (unspecified) [101]

1 (1.5)

More than one software listed/potentially used

4 (6.2)

 R (JM) or SAS (unspecified)

1 (1.5)

 R or SAS (unspecified)

1 (1.5)

 WinBUGS and R (Directed Acyclic Graph provided)

1 (1.5)

 WinBUGS and R (own code available)

1 (1.5)

Unclear

10 (15.4)

  1. Note that studies could report multiple joint fits using different software, so total N ≥ 65. For Mclain [43] R code is stated as available in supplementary material, which was missing when accessed. Lawson [37] may have used WinBUGS but without seeking confirmation from the authors this was classed as unclear software. For Fortran see http://www.fortran.com/, accessed 28 Nov 2016)