Reconsidering the Connection between Capacity and Governance

Public Organization Review - High levels of sub-national policy experimentation and public cynicism about politics and government, combined with significant challenges and opportunities for...     

Research Notes on the Best British Companies: a Peer Evaluation of Britain's Leading Firms

The assessment of company performance is one of the major dilemmas facing the strategic researcher. This paper reviews the alternative methods available, then uses one approach, peer assessment, to produce a guide to British company performance. Britain's best companies are identified and their profiles are examined. Their declared financial strengths and relative weaknesses in marketing and innovation are identified.     

Some social implications of personnel planning

It would appear that most discussions on manpower or personnel planning are concerned with highlighting the dichotomy between organizational needs and personal needs. The assumption that these two separate need areas can be successfully harmonized through personnel planning is implicit. In this paper the intention is to discuss this relationship in terms of the consequences for employees of attempts to achieve the aims of organizational manpower plans through the establishment of personnel control mechanisms.     

Advertising: Trends and prospects

The advertising industry in the U.K. has for many years been regarded as a dynamic and growing industry. This paper examines the proposition and details the historical growth of the advertising industry during post war years and outlines structure through which that growth occurred. Furthermore, the author examines the structure of advertising expenditure both in terms of supply (that is the types of media utilized) and the demand (that is the types of commercial or industrial activity).

The author details surprising facts about the level of business at which the advertising industry is currently operating and examines the causes for the trends he discerns. As the Managing Director of an advertising agency formed in 1974 the author is both a qualified and deeply concerned writer.     

Non-ignorable missing covariate data in survival analysis: a case-study of an International Breast Cancer Study Group trial

Summary.  Non-ignorable missing data, a serious problem in both clinical trials and observational studies, can lead to biased inferences. Quality-of-life measures have become increasingly popular in clinical trials. However, these measures are often incompletely observed, and investigators may suspect that missing quality-of-life data are likely to be non-ignorable. Although several recent references have addressed missing covariates in survival analysis, they all required the assumption that missingness is at random or that all covariates are discrete. We present a method for estimating the parameters in the Cox proportional hazards model when missing covariates may be non-ignorable and continuous or discrete. Our method is useful in reducing the bias and improving efficiency in the presence of missing data. The methodology clearly specifies assumptions about the missing data mechanism and, through sensitivity analysis, helps investigators to understand the potential effect of missing data on study results.     

Use of propensity score matching to evaluate a national smoking cessation media campaign

Sustained mass media campaigns have been recommended to stem the tobacco epidemic in the United States. Propensity score matching (PSM) was used to estimate the effect of awareness of a national smoking cessation media campaign (EX) on quit attempts and cessation-related cognition. Participants were 4,067 smokers and recent quitters aged 18-49 in targeted U.S. media markets. Controlling for potential confounders through PSM and regression analysis, confirmed awareness of EX was not significantly associated with either outcome at 6-month follow-up. Matched analyses excluding 217 quitters resulted in a significant effect of EX on both outcomes.     

Quantile Regression Methods for Longitudinal Data with Drop-outs: Application to CD4 Cell Counts of Patients Infected with the Human Immunodeficiency Virus

Patients infected with the human immunodeficiency virus (HIV) generally experience a decline in their CD4 cell count (a count of certain white blood cells). We describe the use of quantile regression methods to analyse longitudinal data on CD4 cell counts from 1300 patients who participated in clinical trials that compared two therapeutic treatments: zidovudine and didanosine. It is of scientific interest to determine any treatment differences in the CD4 cell counts over a short treatment period. However, the analysis of the CD4 data is complicated by drop-outs: patients with lower CD4 cell counts at the base-line appear more likely to drop out at later measurement occasions. Motivated by this example, we describe the use of `weighted' estimating equations in quantile regression models for longitudinal data with drop-outs. In particular, the conventional estimating equations for the quantile regression parameters are weighted inversely proportionally to the probability of drop-out. This approach requires the process generating the missing data to be estimable but makes no assumptions about the distribution of the responses other than those imposed by the quantile regression model. This method yields consistent estimates of the quantile regression parameters provided that the model for drop-out has been correctly specified. The methodology proposed is applied to the CD4 cell count data and the results are compared with those obtained from an `unweighted' analysis. These results demonstrate how an analysis that fails to account for drop-outs can mislead.     

Structural influences on the relationship between objective and subjective indicators of economic well-being

The study investigated the relationship between objective and subjective indicators of economic well-being within different age, race, and sex groups over time. Stratification theory and an accommodation hypothesis were used to predict differential subjective responses to objective conditions within subgroups. Findings supported the hypothesis that the relationship would be weakest among the oldest age group compared to other age groups. Support was found for the hypothesis that predicted smaller coefficients among subgroups characterized as older, female, and nonwhite. Relationships were found to remain stable within all subgroups over time.