Skip to main content
Log In
More
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
Basket
Search
More
Search for this keyword
Advanced search
Latest Content
Archive
Authors
About
Search for this keyword
Advanced search
Close
More
Main menu
Latest Content
Archive
Authors
About
Log in
More
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?
BMJ Journals
You are here
Home
Archive
Volume 9, Issue 1
Reference equations for pulmonary diffusing capacity using segmented regression show similar predictive accuracy as GAMLSS models
Email alerts
Article metrics
Article menu
Article
Text
Article
info
Citation
Tools
Share
Rapid Responses
Article
metrics
Alerts
PDF
PDF +
Supplementary
Material
Respiratory physiology
Reference equations for pulmonary diffusing capacity using segmented regression show similar predictive accuracy as GAMLSS models
Online download statistics by month:
Online download statistics by month: February 2022 to March 2024
Abstract
Full
Pdf
Feb 2022
207
230
43
Mar 2022
118
116
40
Apr 2022
120
119
42
May 2022
92
89
43
Jun 2022
78
74
34
Jul 2022
79
79
43
Aug 2022
57
56
35
Sep 2022
68
72
36
Oct 2022
85
84
43
Nov 2022
73
70
30
Dec 2022
84
83
40
Jan 2023
90
89
55
Feb 2023
87
89
57
Mar 2023
112
110
60
Apr 2023
80
81
38
May 2023
105
110
39
Jun 2023
57
56
41
Jul 2023
95
99
51
Aug 2023
72
70
24
Sep 2023
51
46
22
Oct 2023
81
84
22
Nov 2023
91
91
41
Dec 2023
61
60
16
Jan 2024
32
28
8
Feb 2024
64
65
27
Mar 2024
68
69
22
Total
2207
2219
952
Read the full text or download the PDF:
Subscribe
Log in
Log in via Institution
Log in via OpenAthens
Log in using your username and password
For personal accounts OR managers of institutional accounts
Username
*
Password
*
Forgot your log in details?
Register a new account?
Forgot
your user name or password?