diff --git a/DESCRIPTION b/DESCRIPTION
index d10b7d0e6754f979cbb76ef90a5f770d740819d7..71c1aed47bcddad68d711958c1b25cc3d3d346a9 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -2,7 +2,7 @@ Package: bayesmeta
 Type: Package
 Title: Bayesian Random-Effects Meta-Analysis and Meta-Regression
 Version: 3.3
-Date: 2023-01-12
+Date: 2023-03-16
 Authors@R: c(person(given="Christian", family="Roever", role=c("aut","cre"), 
                     email="christian.roever@med.uni-goettingen.de",
                     comment=c(ORCID="0000-0002-6911-698X")),
diff --git a/data/Peto1980.R b/data/Peto1980.R
index 74eb07cb5c61e8709e1f27293f39b93f5e19e626..ca6e57c137befd40fff1aa1e670c0e08f395646c 100644
--- a/data/Peto1980.R
+++ b/data/Peto1980.R
@@ -1,15 +1,23 @@
 #
-#  S.E. Brockwell, I.R. Gordon. A comparison of statistical methods for meta-analysis.
-#  Statistics in Medicine, 20(6):825-840, 2001.
-#
 #  R. Peto. Aspirin after myocardial infarction.
 #  The Lancet 315(8179):1172-1173, 1980.
+#  https://doi.org/10.1016/S0140-6736(80)91626-8
+#
+#  P.L. Canner. An overview of six clinical trials of aspirin in coronary heart disease.
+#  Statistics in Medicine, 6(3):255-263, 1987.
+#  https://doi.org/10.1002/sim.4780060310
 #
 
 Peto1980 <- cbind.data.frame("publication"   =c("BrMedJ1974","JChronDis1976","Haemostasis1980",
                                                 "Lancet1979","JAMA1980","Circulation1980"),
-                             "treat.cases"   =c(615, 758, 317, 832, 810, 2267),
-                             "treat.events"  =c(49, 44, 27, 102, 85, 246),
-                             "control.cases" =c(624, 771, 309, 850, 406, 2257),
-                             "control.events"=c(67, 64, 32, 126, 52, 219),
+                             "study"         =c("UK-1","CDPA","GAMS","UK-2","PARIS","AMIS"),
+                             "start"         =as.integer(c(1971, 1972, 1970, 1975, 1975, 1975)),
+                             "end"           =as.integer(c(1973, 1975, 1977, 1979, 1979, 1979)),
+                             "age"           =c(55.0, 56.5, 58.9, 56.2, 56.3, 54.8),
+                             "dose"          =c(300, 972, 1500, 900, 972, 1000),
+                             "followup"      =c(11.9, 22.0, 24.0, 12.0, 41.0, 39.6),
+                             "treat.cases"   =as.integer(c(615, 758, 317, 832, 810, 2267)),
+                             "treat.events"  =as.integer(c(49, 44, 27, 102, 85, 246)),
+                             "control.cases" =as.integer(c(624, 771, 309, 850, 406, 2257)),
+                             "control.events"=as.integer(c(67, 64, 32, 126, 52, 219)),
                              stringsAsFactors=FALSE)
diff --git a/man/KarnerEtAl2014.Rd b/man/KarnerEtAl2014.Rd
index 303008890a0e3e3951bc093359876b628b5b53c0..3ab57cd39046d0fd1eb457071cc4cff37d3e09a3 100644
--- a/man/KarnerEtAl2014.Rd
+++ b/man/KarnerEtAl2014.Rd
@@ -12,7 +12,7 @@
     \bold{inhaler}            \tab \code{factor}    \tab type of inhaler investigated (\dQuote{dry powder} or \dQuote{soft mist}) \cr
     \bold{baseline.age}       \tab \code{numeric}   \tab mean age at baseline \cr
     \bold{baseline.males}     \tab \code{numeric}   \tab proportion of males among study participants \cr
-    \bold{baseline.fev1}      \tab \code{numeric}   \tab mean FEV1 at baseline \cr
+    \bold{baseline.fev1}      \tab \code{numeric}   \tab mean FEV1 at baseline (L) \cr
     \bold{baseline.fev1pp}    \tab \code{numeric}   \tab mean FEV1 (percent of predicted) at baseline \cr
     \bold{baseline.pyr}       \tab \code{numeric}   \tab mean number of pack-years (smoking history) \cr
     \bold{tiotropium.total}   \tab \code{numeric}   \tab total number of patients in the treatment group \cr
@@ -30,7 +30,7 @@
     \bold{placebo.sae}        \tab \code{numeric}   \tab number of patients with \eqn{\geq 1}{>=1} serious adverse event (non-fatal) in the control group \cr
     \bold{placebo.dropout}    \tab \code{numeric}   \tab number of withdrawals in the control group \cr
     \bold{sgrq.md}, \bold{sgrq.se} \tab \code{numeric} \tab mean difference and associated standard error for \emph{St. George's respiratory questionnaire (SGRQ)} total score \cr
-    \bold{fev1.md}, \bold{fev1.se} \tab \code{numeric} \tab mean difference and associated standard error for \emph{forced expiratory volume in 1 second (FEV1)} \cr
+    \bold{fev1.md}, \bold{fev1.se} \tab \code{numeric} \tab mean difference and associated standard error for \emph{forced expiratory volume in 1 second (FEV1, mL)} \cr
   }
 }
 \details{Chronic obstructive pulmonary disease (COPD) is a chronic and
@@ -38,7 +38,8 @@
   phases. Various treatment options are available, aimed at both
   providing relief during an acute exacerbation, and at delaying overall
   disease progression. A common drug used in the management of COPD is
-  \emph{tiotropium}, which is administered via an inhaler device.
+  \emph{tiotropium}, a long-acting muscarinic antagonist (LAMA), which
+  is administered via an inhaler device.
 
   Karner \emph{et al.} (2014) conducted a systematic review in order to
   evaluate the evidence on the effects of tiotropium in comparison to
diff --git a/man/Peto1980.Rd b/man/Peto1980.Rd
index 896eb079733df4b825808e82aacdf129292f33ec..4144d12710b00cb0b51e39b3aa8a0ba5fa7e0f82 100644
--- a/man/Peto1980.Rd
+++ b/man/Peto1980.Rd
@@ -7,24 +7,37 @@
 \usage{data("Peto1980")}
 \format{The data frame contains the following columns:
   \tabular{lll}{
-    \bold{publication}    \tab \code{character} \tab publication identifier \cr
-    \bold{treat.cases}    \tab \code{numeric}   \tab number of cases in treatment group \cr
-    \bold{treat.events}   \tab \code{numeric}   \tab number of events in treatment group \cr
-    \bold{control.cases}  \tab \code{numeric}   \tab number of cases in control group \cr
-    \bold{control.events} \tab \code{numeric}   \tab number of events in control group \cr
+    \bold{publication}    \tab \code{character} \tab publication reference \cr
+    \bold{study}          \tab \code{character} \tab study acronym or abbreviation \cr
+    \bold{start}, \bold{end} \tab \code{integer}   \tab duration of study (calendar years) \cr
+    \bold{age}            \tab \code{numeric}   \tab mean patient age (years) \cr
+    \bold{dose}           \tab \code{numeric}   \tab total daily dose (mg) \cr
+    \bold{followup}       \tab \code{numeric}   \tab follow-up duration (months) \cr
+    \bold{treat.cases}    \tab \code{integer}   \tab number of cases in treatment group \cr
+    \bold{treat.events}   \tab \code{integer}   \tab number of events in treatment group \cr
+    \bold{control.cases}  \tab \code{integer}   \tab number of cases in control group \cr
+    \bold{control.events} \tab \code{integer}   \tab number of events in control group \cr
   }
 }
 \details{
-  Quoting from Brockwell and Gordon (2001):
-  \dQuote{The collection consists of six studies, each examining the
-    effect of aspirin after myocardial infarction. In each study the
-    number of patients who died after having been given either aspirin
-    or a control drug is recorded.}
+  Peto (1980) investigated mortality data from six randomized,
+  placebo-controlled clinical trials of aspirin, involving a total of
+  10,703 post-myocardial infarction patients. Canner (1987) later investigated
+  potential heterogeneity between study characteristics as well as their
+  reported estimates. The included studies' abbreviations are:
+  \tabular{ll}{
+    UK-1   \tab  first United Kingdom trial \cr
+    CDPA   \tab  Coronary Drug Project Aspirin trial \cr
+    GAMS   \tab  German-Austrian Multicentre Study\cr
+    UK-2   \tab  second United Kingdom trial \cr
+    PARIS  \tab  Persantine-Aspirin Reinfarction Study \cr
+    AMIS   \tab  Aspirin Myocardial Infarction Study
+  }
 }
-\source{S.E. Brockwell, I.R. Gordon.
-  A comparison of statistical methods for meta-analysis.
-  \emph{Statistics in Medicine}, \bold{20}(6):825-840, 2001.
-  \doi{10.1002/sim.650}.
+\source{P.L. Canner. An overview of six clinical trials of aspirin
+  in coronary heart disease.
+  \emph{Statistics in Medicine}, \bold{6}(3):255-263, 1987.
+  \doi{10.1002/sim.4780060310}
 }
 \references{R. Peto.
   Aspirin after myocardial infarction. 
diff --git a/man/bayesmeta-package.Rd b/man/bayesmeta-package.Rd
index 5fe43fd0cc560fb94c99753952bc19d8049b376d..975dd7080fb2ab86287788941c6c4cf1d490c537 100644
--- a/man/bayesmeta-package.Rd
+++ b/man/bayesmeta-package.Rd
@@ -16,7 +16,7 @@
     Package: \tab bayesmeta\cr
     Type:    \tab Package\cr
     Version: \tab 3.3\cr
-    Date:    \tab 2022-01-12\cr
+    Date:    \tab 2023-03-16\cr
     License: \tab GPL (>=2)
   }
   The main functionality is provided by the \code{\link{bayesmeta}()}