-
1
-
-
79959509358
-
Proxy pattern-mixture analysis for survey nonresponse
-
Andridge, R.R. & Little, R.J.A. (2011). Proxy pattern-mixture analysis for survey nonresponse. J. Off. Statist., 27(2), 153-180.
-
(2011)
J. Off. Statist.
, vol.27
, Issue.2
, pp. 153-180
-
-
Andridge, R.1
Little, R.2
-
2
-
-
0344583619
-
Nonresponse in US government household surveys: Consistent measures, recent trends, and new insights
-
Atrostic, B.K., Bates, N., Burt, G. & Silberstein, A. (2001). Nonresponse in US government household surveys: Consistent measures, recent trends, and new insights. J. Off. Statist., 17(2), 209-226.
-
(2001)
J. Off. Statist.
, vol.17
, Issue.2
, pp. 209-226
-
-
Atrostic, B.1
Bates, N.2
Burt, G.3
Silberstein, A.4
-
3
-
-
84906065032
-
Should high response rates really be a primary objective?
-
Beullens, K. & Loosveldt, G. (2012). Should high response rates really be a primary objective?Surv. Pract., 5(3).
-
(2012)
Surv. Pract.
, vol.5
, Issue.3
-
-
Beullens, K.1
Loosveldt, G.2
-
4
-
-
0040099300
-
Reduction of nonresponse bias through regression estimation
-
Bethlehem, J.G. (1988). Reduction of nonresponse bias through regression estimation. J. Off. Statist., 4(3), 251-261.
-
(1988)
J. Off. Statist.
, vol.4
, Issue.3
, pp. 251-261
-
-
Bethlehem, J.1
-
5
-
-
79953135888
-
Propensity to respond and nonresponse bias
-
Brick, J.M. & Jones, M.E. (2008). Propensity to respond and nonresponse bias. Metron, 66, 51-73.
-
(2008)
Metron
, vol.66
, pp. 51-73
-
-
Brick, J.1
Jones, M.2
-
6
-
-
84870211342
-
Explaining rising nonresponse rates in cross-sectional surveys
-
Brick, J.M. & Williams, D. (2013). Explaining rising nonresponse rates in cross-sectional surveys. Ann. Am. Acad. Pol. Soc. Sci., 645(1), 36-59.
-
(2013)
Ann. Am. Acad. Pol. Soc. Sci.
, vol.645
, Issue.1
, pp. 36-59
-
-
Brick, J.1
Williams, D.2
-
10
-
-
24144494185
-
Changes in telephone survey nonresponse over the past quarter century
-
Curtin, R., Presser, S. & Singer, E. (2005). Changes in telephone survey nonresponse over the past quarter century. Publ. Opin. Q., 69(1), 87-98.
-
(2005)
Publ. Opin. Q.
, vol.69
, Issue.1
, pp. 87-98
-
-
Curtin, R.1
Presser, S.2
Singer, E.3
-
11
-
-
0038183496
-
Trends in household survey nonresponse: A longitudinal and international comparison
-
Ed. R.M. Groves -. New York: John Wiley & Sons.
-
de Leeuw, E., de Heer, W. (2002). Trends in household survey nonresponse: A longitudinal and international comparison. In Survey Nonresponse, Ed. R.M. Groves, pp. 41-54. New York: John Wiley & Sons.
-
(2002)
Survey Nonresponse
, pp. 41-54
-
-
de Leeuw, E.1
de Heer, W.2
-
12
-
-
0002629270
-
Maximum likelihood from incomplete data via the EM algorithm
-
Dempster, A.P., Laird, N.M. & Rubin, D.B. (1977). Maximum likelihood from incomplete data via the EM algorithm. J. R. Statist. Soc. Ser. B (Methodological), 39(1), 1-38.
-
(1977)
J. R. Statist. Soc. Ser. B (Methodological)
, vol.39
, Issue.1
, pp. 1-38
-
-
Dempster, A.1
Laird, N.2
Rubin, D.3
-
13
-
-
34548451124
-
How many imputations are really needed? Some practical clarifications of multiple imputation theory
-
Graham, J., Olchowski, A. & Gilreath, T. (2007). How many imputations are really needed? Some practical clarifications of multiple imputation theory. Prev. Sci., 8(3), 206-213.
-
(2007)
Prev. Sci.
, vol.8
, Issue.3
, pp. 206-213
-
-
Graham, J.1
Olchowski, A.2
Gilreath, T.3
-
14
-
-
33845785591
-
Nonresponse rates and nonresponse bias in household surveys
-
Groves, R.M. (2006). Nonresponse rates and nonresponse bias in household surveys. Publ. Opin. Q., 70(5), 646-675.
-
(2006)
Publ. Opin. Q.
, vol.70
, Issue.5
, pp. 646-675
-
-
Groves, R.1
-
15
-
-
33745049458
-
Responsive design for household surveys: Tools for actively controlling survey errors and costs
-
Groves, R.M. & Heeringa, S.G. (2006). Responsive design for household surveys: Tools for actively controlling survey errors and costs. J. R. Statist. Soc. Ser. A (Statistics in Society), 169(3), 439-457.
-
(2006)
J. R. Statist. Soc. Ser. A (Statistics in Society)
, vol.169
, Issue.3
, pp. 439-457
-
-
Groves, R.1
Heeringa, S.2
-
16
-
-
44949252100
-
The impact of nonresponse rates on nonresponse bias: A meta-analysis
-
Groves, R.M. & Peytcheva, E. (2008). The impact of nonresponse rates on nonresponse bias: A meta-analysis. Publ. Opin. Q., 72(2), 167-189.
-
(2008)
Publ. Opin. Q.
, vol.72
, Issue.2
, pp. 167-189
-
-
Groves, R.1
Peytcheva, E.2
-
17
-
-
84864806171
-
rms: Regression modeling strategies
-
R package version 4.2-0. Available at:[Accessed on 8 July 2013].
-
Harrell, F.E., Jr. (2014). rms: Regression modeling strategies. R package version 4.2-0. Available at: http://CRAN.R-project.org/package=rms [Accessed on 8 July 2013].
-
(2014)
-
-
Harrell, F.E.1
-
18
-
-
0001876297
-
Treatment of missing survey data
-
Kalton, G. & Kasprzyk, D. (1986). Treatment of missing survey data. Surv. Method., 12, 1-16.
-
(1986)
Surv. Method.
, vol.12
, pp. 1-16
-
-
Kalton, G.1
Kasprzyk, D.2
-
19
-
-
79956128893
-
Multiple auxiliary variables in nonresponse adjustment
-
Kreuter, F. & Olson, K. (2011). Multiple auxiliary variables in nonresponse adjustment. Sociological Meth. Res., 40(2), 311-332.
-
(2011)
Sociological Meth. Res.
, vol.40
, Issue.2
, pp. 311-332
-
-
Kreuter, F.1
Olson, K.2
-
22
-
-
27744441565
-
Does weighting for nonresponse increase the variance of survey means?
-
Little, R.J.A. & Vartivarian, S. (2005). Does weighting for nonresponse increase the variance of survey means? Surv. Method., 31(2), 161-168.
-
(2005)
Surv. Method.
, vol.31
, Issue.2
, pp. 161-168
-
-
Little, R.1
Vartivarian, S.2
-
23
-
-
78651364378
-
Survey: Analysis of complex survey samples
-
R package version 3.28-2.
-
Lumley, T. (2012). Survey: Analysis of complex survey samples. R package version 3.28-2.
-
(2012)
-
-
Lumley, T.1
-
24
-
-
4544228988
-
Analysis of complex survey samples
-
Lumley, T. (2004). Analysis of complex survey samples. J. Statist. Softw., 9(1), 1-19.
-
(2004)
J. Statist. Softw.
, vol.9
, Issue.1
, pp. 1-19
-
-
Lumley, T.1
-
25
-
-
77956887506
-
A note on a general definition of the coefficient of determination
-
Nagelkerke, N.J.D. (1991). A note on a general definition of the coefficient of determination. Biometrika, 78(3), 691-692.
-
(1991)
Biometrika
, vol.78
, Issue.3
, pp. 691-692
-
-
Nagelkerke, N.1
-
26
-
-
33947301727
-
Response rates and nonresponse in establishment Surveys BLS and Census Bureau
-
Presented to the Federal Economic Statistics Advisory Committee: 1-50.
-
Petroni, R., Sigman, R., Willimack, D., Cohen, S. & Tucker, C. (2004). Response rates and nonresponse in establishment Surveys BLS and Census Bureau. Presented to the Federal Economic Statistics Advisory Committee: 1-50.
-
(2004)
-
-
Petroni, R.1
Sigman, R.2
Willimack, D.3
Cohen, S.4
Tucker, C.5
-
27
-
-
84863304598
-
R: A language and environment for statistical computing
-
R Foundation for Statistical Computing, Vienna, Austria. Available at:[Accessed on 8 July 2013].
-
R Core Team (2013). R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, Austria. Available at: http://www.R-project.org/ [Accessed on 8 July 2013].
-
(2013)
-
-
-
29
-
-
79953148910
-
The 2010 Morris Hansen lecture dealing with survey nonresponse in data collection, in estimation
-
Särndal, C.-E. (2011). The 2010 Morris Hansen lecture dealing with survey nonresponse in data collection, in estimation. J. Off. Statist., 27(1), 1-21.
-
(2011)
J. Off. Statist.
, vol.27
, Issue.1
, pp. 1-21
-
-
Särndal, C.-E.1
-
30
-
-
78651405656
-
Design for estimation: Identifying auxiliary vectors to reduce nonresponse bias
-
Särndal, C.-E. & Lundström, S. (2010). Design for estimation: Identifying auxiliary vectors to reduce nonresponse bias. Surv. Method., 36, 131-144.
-
(2010)
Surv. Method.
, vol.36
, pp. 131-144
-
-
Särndal, C.-E.1
Lundström, S.2
-
31
-
-
85045163649
-
A selection strategy for weighting variables under a not-missing-at-random assumption
-
Schouten, B. (2007). A selection strategy for weighting variables under a not-missing-at-random assumption. J. Off. Statist., 23, 51-68.
-
(2007)
J. Off. Statist.
, vol.23
, pp. 51-68
-
-
Schouten, B.1
-
32
-
-
77949527325
-
Indicators for the representativeness of survey response
-
Schouten, B., Cobben, F. & Bethlehem, J.G. (2009). Indicators for the representativeness of survey response. Surv. Method., 35(1), 101-113.
-
(2009)
Surv. Method.
, vol.35
, Issue.1
, pp. 101-113
-
-
Schouten, B.1
Cobben, F.2
Bethlehem, J.3
-
33
-
-
79953732420
-
MICE: Multivariate imputation by chained equations in R
-
van Buuren, S. & Groothuis-Oudshoorn, K. (2011). MICE: Multivariate imputation by chained equations in R. J. Statist. Softw., 45(3), 1-67.
-
(2011)
J. Statist. Softw.
, vol.45
, Issue.3
, pp. 1-67
-
-
van Buuren, S.1
Groothuis-Oudshoorn, K.2
-
34
-
-
77952995122
-
The fraction of missing information as a tool for monitoring the quality of survey data
-
Wagner, J. (2010). The fraction of missing information as a tool for monitoring the quality of survey data. Publ. Opin. Q., 74(2), 223-243.
-
(2010)
Publ. Opin. Q.
, vol.74
, Issue.2
, pp. 223-243
-
-
Wagner, J.1
-
35
-
-
84867424044
-
A comparison of alternative indicators for the risk of nonresponse bias
-
Wagner, J. (2012). A comparison of alternative indicators for the risk of nonresponse bias. Publ. Opin. Q., 76(3), 555-575.
-
(2012)
Publ. Opin. Q.
, vol.76
, Issue.3
, pp. 555-575
-
-
Wagner, J.1
-
36
-
-
84872031746
-
Use of paradata in a responsive design framework to manage a field data collection
-
Wagner, J., West, B.T., Kirgis, N., Lepkowski, J.M., Axinn, W.G. & Ndiaye, S.K. (2012). Use of paradata in a responsive design framework to manage a field data collection. J. Off. Statist., 28(4), 477-499.
-
(2012)
J. Off. Statist.
, vol.28
, Issue.4
, pp. 477-499
-
-
Wagner, J.1
West, B.2
Kirgis, N.3
Lepkowski, J.4
Axinn, W.G.5
Ndiaye, S.6
|