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| 1 | A review of the application of propensity score methods yielded increasing use, advantages in specific settings, but not substantially different estimates compared with conventional multivariable methods显示文摘 | Til Stürmer Manisha Joshi Robert J. Glynn Jerry Avorn Kenneth J. Rothman Sebastian Schneeweiss | 2006 | Journal of Clinical Epidemiology2006，，5： | 2 |
| 2 | Post-stroke depression: outcome following rehabilitation显示文摘 | Loong CK Kenneth NK Paulin ST | 1995 | Aust N J Psychiatry1995，29，4： | 1 |
| 3 | Antidepressant pharmaeotherapy: considerations for the pain clinician显示文摘 | Kenneth C Jackson Erin L St Onge | 2003 | Pain Practice2003，3，2： | 1 |
| 4 | Molecular characterization of a multiply resistant Klebsiella pneumoniae encoding ESBLs and a plasmid-mediated Amp显示文摘 | Nancy DH Kenneth ST Ellen SM | 1999 | J Antimicrob Chemother1999，44，： | 1 |
| 5 | AmpC disk test for detection of plasmid-mediated AmpC β-lactamases in Enterobaeteriaceae lacking chromosomal AmpC β-laetamases显示文摘 | Jennifer AB Ellen SM Kenneth ST | 2005 | J Clin Microbiol2005，4，9： | 1 |
| 6 | Ampc disk test for detection of plas- mid-mediated AmpC β-lactamases in enterbaeteriaceae lacking chromo- somal AmpC β-lactamases显示文摘 | Jennifer AB Ellen SM Kenneth ST | 2005 | Journal of Clinical Microbiology2005，4，9： | 1 |
| 7 | Post-stroke depression:outcome following rehabilitation显示文摘 | Loong CK Kenneth NK Paulin ST | 1995 | Aust N J Psychiatry1995，29，4： | 1 |
| 8 | AmpC disk test for detection of plasmid mediated Ampc β lactamases in enterbaeteriaceae lacking chromosomal AmpC βlactamases显示文摘 | Jennifer AB Ellen SM Kenneth ST | 2005 | Journal of Clinical Microbiology2005，4，9： | 1 |
| 9 | Prognostic value of the shock index along with transthoracic echocardiography in risk stratification of patients with acute pulmonary embolism显示文摘 | Mehrdad ST John DM Kenneth VL | 2008 | Am J Cardiol2008，101，5： | 1 |
| 10 | Post stroke depression:outcome following rehabilitation 显示文摘 | Loong CK Kenneth NK Paulin ST | 1995 | Aust N JPsychiatry1995，29，4： | 1 |
| 11 | AmpC disk test for detection of plasmid-mediated AmpC β-lactamases in Enterbaeteriaceae lacking chromosomal AmpC β-lactamases显示文摘 | Jennifer AB Ellen SM Kenneth ST | 2005 | J Clin Microbiol2005，4，9： | 1 |
| 12 | Post-stroke depression :outcome following rehabilitation显示文摘 | Kenneth NK Paulin ST | 1995 | Aust N J Psychiatry1995，29，4： | 1 |
| 13 | Post-stroke depression :outcome following rehabilitation显示文摘 | Kenneth NK Paulin ST | 1995 | Aust N Z J Psychiatry1995，29，4： | 1 |
| 14 | EGFR expression as a predictor of survival for first-line chemotherapy plus cetuximab in patients with advanced non-small-cell lung cancer: analysis of data from the phase 3 FLEX study显示文摘 | Robert Pirker Jose R Pereira Joachim von Pawel Maciej Krzakowski Rodryg Ramlau Keunchil Park Filippo de Marinis Wilfried EE Eberhardt Luis Paz-Ares Stephan St?rkel Karl-Maria Schumacher Anja von Heydebreck Ilhan Celik Kenneth J O’Byrne | 2012 | Lancet Oncology2012，，1： | 1 |
| 15 | Nkx2-5 Pathways and Congenital Heart Disease显示文摘 | Mohammad Pashmforoush Jonathan T Lu Hanying Chen Tara St Amand Richard Kondo Sylvain Pradervand Sylvia M Evans Bob Clark James R Feramisco Wayne Giles Siew Yen Ho D.Woodrow Benson Michael Silberbach Weinian Shou Kenneth R Chien | 2004 | Cell2004，，： | 1 |
| 16 | Occurrence and detection of AmpC beta - lactamases among Escherichia Coli , Klebsiella Pneumoniae and Proteus mirabilis Isolates at a Veterans Medical Center显示文摘 | Philip Ee Ellen SM Kenneth ST | 2000 | J Clinical Microbiology2000，38，5： | 1 |
| 17 | Why ecosystem characteristics predicted from remotely sensed data are unbiased and biased at the same time-and how this affects applications显示文摘Remotely sensed data are frequently used for predicting and mapping ecosystem characteristics,and spatially explicit wall-to-wall information is sometimes proposed as the best possible source of information for decisionmaking.However,wall-to-wall information typically relies on model-based prediction,and several features of model-based prediction should be understood before extensively relying on this type of information.One such feature is that model-based predictors can be considered both unbiased and biased at the same time,which has important implications in several areas of application.In this discussion paper,we first describe the conventional model-unbiasedness paradigm that underpins most prediction techniques using remotely sensed(or other)auxiliary data.From this point of view,model-based predictors are typically unbiased.Secondly,we show that for specific domains,identified based on their true values,the same model-based predictors can be considered biased,and sometimes severely so.We suggest distinguishing between conventional model-bias,defined in the statistical literature as the difference between the expected value of a predictor and the expected value of the quantity being predicted,and design-bias of model-based estimators,defined as the difference between the expected value of a model-based estimator and the true value of the quantity being predicted.We show that model-based estimators(or predictors)are typically design-biased,and that there is a trend in the design-bias from overestimating small true values to underestimating large true values.Further,we give examples of applications where this is important to acknowledge and to potentially make adjustments to correct for the design-bias trend.We argue that relying entirely on conventional model-unbiasedness may lead to mistakes in several areas of application that use predictions from remotely sensed data. | Goran Ståhl Terje Gobakken Svetlana Saarela Henrik J.Persson Magnus Ekstrom Sean P.Healey Zhiqiang Yang Johan Holmgren Eva Lindberg Kenneth Nystrom Emanuele Papucci Patrik Ulvdal Hans OleØrka Erik Næsset Zhengyang Hou Håkan Olsson Ronald E.McRoberts | 2024 | Forest Ecosystems2024，11，1： | 0 |
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